Triple

T4302711
Position Surface form Disambiguated ID Type / Status
Subject Oshiwambo E99877 entity
Predicate hasDialect P4251 FINISHED
Object Oshimbalantu
Oshimbalantu is a regional variety of the Oshiwambo language spoken by the Balantu people in northern Namibia and southern Angola.
 E99877 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Oshimbalantu | Statement: [Oshiwambo, hasDialect, Oshimbalantu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oshimbalantu
Context triple: [Oshiwambo, hasDialect, Oshimbalantu]
  • A. Umbundu
    Umbundu is a major Bantu language spoken primarily in central and southern Angola, especially by the Ovimbundu people.
  • B. Oshiwambo
    Oshiwambo is a Bantu language (or cluster of closely related dialects) widely spoken by the Ovambo people in northern Namibia and southern Angola.
  • C. Ozabeni
    Ozabeni is a natural area within South Africa’s iSimangaliso Wetland Park, known for its rich biodiversity and wetland ecosystems.
  • D. Kikamba-Doondo
    Kikamba-Doondo is a regional dialect of the Bantu language Kikongo, spoken by communities in parts of Central Africa.
  • E. Neshnabémwen
    Neshnabémwen is the Indigenous language of the Potawatomi people, belonging to the Algonquian language family and traditionally spoken in the Great Lakes region of North America.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Oshimbalantu
Triple: [Oshiwambo, hasDialect, Oshimbalantu]
Generated description
Oshimbalantu is a regional variety of the Oshiwambo language spoken by the Balantu people in northern Namibia and southern Angola.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oshimbalantu
Target entity description: Oshimbalantu is a regional variety of the Oshiwambo language spoken by the Balantu people in northern Namibia and southern Angola.
  • A. Umbundu
    Umbundu is a major Bantu language spoken primarily in central and southern Angola, especially by the Ovimbundu people.
  • B. Oshiwambo chosen
    Oshiwambo is a Bantu language (or cluster of closely related dialects) widely spoken by the Ovambo people in northern Namibia and southern Angola.
  • C. Ozabeni
    Ozabeni is a natural area within South Africa’s iSimangaliso Wetland Park, known for its rich biodiversity and wetland ecosystems.
  • D. Kikamba-Doondo
    Kikamba-Doondo is a regional dialect of the Bantu language Kikongo, spoken by communities in parts of Central Africa.
  • E. Neshnabémwen
    Neshnabémwen is the Indigenous language of the Potawatomi people, belonging to the Algonquian language family and traditionally spoken in the Great Lakes region of North America.
  • F. None of above.

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69b345528ebc8190b5abc7e95094792d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b350b66450819089c9ff6ff9f045e5 completed March 12, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c7507f1081909cf737dff00542d9 completed March 14, 2026, 8:38 p.m.
NEDg Description generation batch_69b5c909b7848190bbe00249e0c9e555 completed March 14, 2026, 8:46 p.m.
NED2 Entity disambiguation (via description) batch_69b5c97117088190972bba5dbc1553f7 completed March 14, 2026, 8:47 p.m.
Created at: March 12, 2026, 11:08 p.m.